Demand
IFS Cloud offers advanced, AI-powered demand planning and forecasting capabilities (including the 24R2 update with 8–9% better accuracy) designed to optimize inventory and supply chain efficiency. It integrates Demand Driven Material Requirements Planning (DDMRP) and machine learning, allowing manufacturers to reduce raw material waste and improve service levels.
Key features and benefits of demand capabilities in IFS Cloud include:
- AI-Powered Forecasting: The 24R2 release introduces the TSPT model, trained on over 100 billion time points to enhance forecasting, directly impacting supply chain accuracy.
- DDMRP (Demand-Driven Material Requirements Planning): Shifts from traditional forecast-based planning to actual demand, using buffer zones to manage inventory, reduce waste, and improve cash flow.
- Real-Time Planning & Scheduling: Embedded Industrial AI adapts to real-time changes, allowing for optimized maintenance and production scheduling on demand.
- Inventory Optimization: Helps service businesses maintain profitability during uncertain times by optimizing stock levels based on real-time data.
- Visibility: Provides tools for monitoring demand for maintenance parts and materials, enhancing overall operational efficiency.
For specific implementation, the system requires setting up the Demand Plan Server with necessary data, such as period versions and parameters, often utilizing Oracle databases.